A matched filter hypothesis for cognitive control

Chrysikou, E; Weber, Matthew J.; Thompson-Schill, Sharon L.

doi:10.1016/j.neuropsychologia.2013.10.021

Cited by 140 publications

(118 citation statements)

References 199 publications

(230 reference statements)

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“…The authors show DMN and ECN cooperation at later stages of the creative task, which they interpret as the ECN executing evaluation processes on ideas generated by the DMN during earlier stages of the task (Beaty et al, 2015). Such a dynamic role for the ECN is consistent with a theory on the role of the prefrontal cortex as a filtering mechanism, contingent on task demands and context (Chrysikou, Weber, & Thompson-Schill, 2014). According to this theory, cognitive control, as mediated by the prefrontal cortex, is critical to performance on tasks that rely on top-down, rule-based processes (such as idea evaluation), and can constrain performance in tasks that rely on bottom-up, spontaneous processes (such as idea generation; Chrysikou et al, 2014).…”

Section: Introductionsupporting

confidence: 87%

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Driving the brain towards creativity and intelligence: A network control theory analysis

et al. 2018

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High-level cognitive constructs, such as creativity and intelligence, entail complex and multiple processes, including cognitive control processes. Recent neurocognitive research on these constructs highlight the importance of dynamic interaction across neural network systems and the role of cognitive control processes in guiding such a dynamic interaction. How can we quantitatively examine the extent and ways in which cognitive control contributes to creativity anf intelligence? To address this question, we apply a computational network control theory (NCT) approach to structural brain imaging data acquired via diffusion tensor imaging in a large sample of participants, to examine how NCT relates to individual differences in distinct measures of creative ability and intelligence. Recent application of this theory at the neural level is built on a model of brain dynamics, which mathematically models patterns of inter-region activity propagated along the structure of an underlying network. The strength of this approach is its ability to characterize the potential role of each brain region in regulating whole-brain network function based on its anatomical fingerprint and a simplified model of node dynamics. We find that intelligence is related to the ability to “drive” the brain system into easy to reach neural states by the right inferior parietal lobe and lower integration abilities in the left retrosplenial cortex. We also find that creativity is related to the ability to “drive” the brain system into difficult to reach states by the right dorsolateral prefrontal cortex (inferior frontal junction) and higher integration abilities in sensorimotor areas. Furthermore, we found that different facets of creativity—fluency, flexibility, and originality—relate to generally similar but not identical network controllability processes. We relate our findings to general theories on intelligence and creativity.

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Section: Introductionsupporting

confidence: 87%

“…Current research has implicated cognitive control processes in the ECN in both intelligence (Hearne et al, 2016; Jung & Haier, 2007) and creativity (Beaty et al, 2016; Chrysikou, in press; Chrysikou et al, 2014). But what specific control processes distinguish these cognitive abilities?…”

Section: Discussionmentioning

confidence: 99%

Driving the brain towards creativity and intelligence: A network control theory analysis

et al. 2018

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“…However, as new studies seek to tease apart this paradox, there is evidence that the DLPFC may have various functional roles dependent upon the creative task, goals, and individual-difference factors such as expertise (Pinho et al, 2014). It has been theorized that baseline abilities may differentially affect tDCS stimulation effects (Mayseless and Shamay-Tsoory, 2015), and that increased cognitive control is only advantageous in certain creative domains and situations (Chrysikou et al, 2014). In this study, we implemented a novel approach to examining the interaction between tDCS and jazz pianists' degree of domain-expertise with regard to the quality of their improvisations.…”

Section: Discussionmentioning

confidence: 99%

“…), and enhanced connectivity among prefrontal, premotor, motor, and default mode regions (Limb and Braun, 2008; Pinho et al, 2014, 2016). These activation and deactivation patterns are thought to represent a shift from top-down control to more automatic, bottom-up, implicit processing, which facilitates creative performance (Yang, 2015), not only for expert improvisers, but also in other creative domains and tasks (Jung et al, 2013; Chrysikou et al, 2014). …”

Section: Literature Reviewmentioning

confidence: 99%

Anodal tDCS to Right Dorsolateral Prefrontal Cortex Facilitates Performance for Novice Jazz Improvisers but Hinders Experts

Rosen

Erickson

Kim

et al. 2016

Front. Hum. Neurosci.

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Research on creative cognition reveals a fundamental disagreement about the nature of creative thought, specifically, whether it is primarily based on automatic, associative (Type-1) or executive, controlled (Type-2) processes. We hypothesized that Type-1 and Type-2 processes make differential contributions to creative production that depend on domain expertise. We tested this hypothesis with jazz pianists whose expertise was indexed by the number of public performances given. Previous fMRI studies of musical improvisation have reported that domain expertise is characterized by deactivation of the right-dorsolateral prefrontal cortex (r-DLPFC), a brain area associated with Type-2 executive processing. We used anodal, cathodal, and sham transcranial direct current stimulation (tDCS) applied over r-DLPFC with the reference electrode on the contralateral mastoid (1.5 mA for 15 min, except for sham) to modulate the quality of the pianists' performances while they improvised over chords with drum and bass accompaniment. Jazz experts rated each improvisation for creativity, esthetic appeal, and technical proficiency. There was no main effect of anodal or cathodal stimulation on ratings compared to sham; however, a significant interaction between anodal tDCS and expertise emerged such that stimulation benefitted musicians with less experience but hindered those with more experience. We interpret these results as evidence for a dual-process model of creativity in which novices and experts differentially engage Type-1 and Type-2 processes during creative production.

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“…Instead, such networks may exhibit differential involvement as a function of task demands (cf. Chrysikou et al, 2014). A growing literature points to several cognitive processes associated with large-scale network cooperation, including mind-wandering (Christoff et al, 2009), future planning (Gerlach et al, 2014;Spreng et al, 2010), and even cognitive control (Cocchi et al, 2013;Spreng et al, 2014).…”

Section: The Cognitive Control Of Creative Behaviormentioning

confidence: 99%

The neuroscience of musical improvisation

Beaty

2015

Neuroscience & Biobehavioral Reviews

175

163

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Researchers have recently begun to examine the neural basis of musical improvisation, one of the most complex forms of creative behavior. The emerging field of improvisation neuroscience has implications not only for the study of artistic expertise, but also for understanding the neural underpinnings of domain-general processes such as motor control and language production. This review synthesizes functional magnetic resonance imagining (fMRI) studies of musical improvisation, including vocal and instrumental improvisation, with samples of jazz pianists, classical musicians, freestyle rap artists, and non-musicians. A network of prefrontal brain regions commonly linked to improvisatory behavior is highlighted, including the pre-supplementary motor area, medial prefrontal cortex, inferior frontal gyrus, dorsolateral prefrontal cortex, and dorsal premotor cortex. Activation of premotor and lateral prefrontal regions suggests that a seemingly unconstrained behavior may actually benefit from motor planning and cognitive control. Yet activation of cortical midline regions points to a role of spontaneous cognition characteristic of the default network. Together, such results may reflect cooperation between large-scale brain networks associated with cognitive control and spontaneous thought. The improvisation literature is integrated with Pressing's theoretical model, and discussed within the broader context of research on the brain basis of creative cognition.

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A matched filter hypothesis for cognitive control

Cited by 140 publications

References 199 publications

Driving the brain towards creativity and intelligence: A network control theory analysis

Driving the brain towards creativity and intelligence: A network control theory analysis

Anodal tDCS to Right Dorsolateral Prefrontal Cortex Facilitates Performance for Novice Jazz Improvisers but Hinders Experts

The neuroscience of musical improvisation

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